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Tag: LLMs

Positional Encoding in Transformers: Sinusoidal vs Learned for LLMs

Positional Encoding in Transformers: Sinusoidal vs Learned for LLMs

Sinusoidal and learned positional encodings were early solutions for transformers, but modern LLMs now use RoPE and ALiBi for better long-context performance. Learn why and how these techniques evolved.

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Recent Posts

Encoder-Decoder vs Decoder-Only Transformers: What You Need to Know About Large Language Models Mar, 10 2026
Encoder-Decoder vs Decoder-Only Transformers: What You Need to Know About Large Language Models
Action Verification and Retries in LLM Agent Execution Loops Mar, 13 2026
Action Verification and Retries in LLM Agent Execution Loops
Marketing the Wins: Telling the Vibe Coding Success Story Internally Mar, 18 2026
Marketing the Wins: Telling the Vibe Coding Success Story Internally
How Cross-Functional Committees Ensure Ethical Use of Large Language Models Aug, 14 2025
How Cross-Functional Committees Ensure Ethical Use of Large Language Models
How Generative AI Is Transforming Pharmaceutical Trial Design and Regulatory Writing Jan, 30 2026
How Generative AI Is Transforming Pharmaceutical Trial Design and Regulatory Writing

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